Implementation of Deep Learning models for Information Extraction on Identification Documents

Detalhes bibliográficos
Autor(a) principal: Renda, Henrique Eduardo Espadinha
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/152091
Resumo: Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
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spelling Implementation of Deep Learning models for Information Extraction on Identification DocumentsArtificial IntelligenceMachine LearningArtificial Neural NetworksComputer VisionObject Detection ModelsOptical Character Recognition (OCR)Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceThe development of object detection models has revolutionized the analysis of personal information on identification cards, leading to a decrease in external human labor. Although previous strategies have been employed to address this issue without using machine learning models, they all present certain limitations, which artificial intelligence aims to overcome. This report delves into the development of a deep learning-based object detection capable of recognizing relevant information from Portuguese identification cards. All the decisions made during the project will be accompanied by a detailed background theory. Additionally, we provide an in-depth analysis of Optical Character Recognition (OCR) technology, which was utilized throughout the project to generate text from images. As the newest member of the Machine learning Team of Biometrid, I had the privilege of being involved in this project that led to the improvement of the current approach that does not leverage machine learning in the detection of relevant sections from ID cards. The findings of this project provide a foundation for further research into the use of AI in identification card analysis.Henriques, Roberto André PereiraRUNRenda, Henrique Eduardo Espadinha2023-04-24T13:07:41Z2023-04-102023-04-10T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/152091TID:203268369enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:34:27Zoai:run.unl.pt:10362/152091Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:47.508050Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Implementation of Deep Learning models for Information Extraction on Identification Documents
title Implementation of Deep Learning models for Information Extraction on Identification Documents
spellingShingle Implementation of Deep Learning models for Information Extraction on Identification Documents
Renda, Henrique Eduardo Espadinha
Artificial Intelligence
Machine Learning
Artificial Neural Networks
Computer Vision
Object Detection Models
Optical Character Recognition (OCR)
title_short Implementation of Deep Learning models for Information Extraction on Identification Documents
title_full Implementation of Deep Learning models for Information Extraction on Identification Documents
title_fullStr Implementation of Deep Learning models for Information Extraction on Identification Documents
title_full_unstemmed Implementation of Deep Learning models for Information Extraction on Identification Documents
title_sort Implementation of Deep Learning models for Information Extraction on Identification Documents
author Renda, Henrique Eduardo Espadinha
author_facet Renda, Henrique Eduardo Espadinha
author_role author
dc.contributor.none.fl_str_mv Henriques, Roberto André Pereira
RUN
dc.contributor.author.fl_str_mv Renda, Henrique Eduardo Espadinha
dc.subject.por.fl_str_mv Artificial Intelligence
Machine Learning
Artificial Neural Networks
Computer Vision
Object Detection Models
Optical Character Recognition (OCR)
topic Artificial Intelligence
Machine Learning
Artificial Neural Networks
Computer Vision
Object Detection Models
Optical Character Recognition (OCR)
description Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
publishDate 2023
dc.date.none.fl_str_mv 2023-04-24T13:07:41Z
2023-04-10
2023-04-10T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/152091
TID:203268369
url http://hdl.handle.net/10362/152091
identifier_str_mv TID:203268369
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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